AIMC Topic: Spine

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Deep learning algorithm for automatically measuring Cobb angle in patients with idiopathic scoliosis.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Feb 17, 2024
PURPOSE: The Cobb angle is a standard measurement to qualify and track the progression of scoliosis. However, the Cobb angle has high inter- and intra-observer variability. Consequently, its measurement varies with vertebrae and may even differ when ...
Humans Female Radiography Spine Deep Learning Reproducibility of Results Adolescent Scoliosis Male Child
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Spine surgeon versus AI algorithm full-length radiographic measurements: a validation study of complex adult spinal deformity patients.

Spine deformity Feb 9, 2024
INTRODUCTION: Spinal measurements play an integral role in surgical planning for a variety of spine procedures. Full-length imaging eliminates distortions that can occur with stitched images. However, these images take radiologists significantly long...
Reproducibility of Results Adult Male Algorithms Female Observer Variation Lordosis Spinal Curvatures Radiography Spine Middle Aged Humans Artificial Intelligence
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Clinical applications of robotic surgery platforms: a comprehensive review.

Journal of robotic surgery Jan 17, 2024
Robotic surgery has expanded globally across various medical specialties since its inception more than 20 years ago. Accompanying this expansion were significant technological improvements, providing tremendous benefits to patients and allowing the s...
Humans Robotic Surgical Procedures Databases, Factual Neurosurgical Procedures Robotics Spine
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A Deep-Learning Model for Diagnosing Fresh Vertebral Fractures on Magnetic Resonance Images.

World neurosurgery Jan 11, 2024
BACKGROUND: The accurate diagnosis of fresh vertebral fractures (VFs) was critical to optimizing treatment outcomes. Existing studies, however, demonstrated insufficient accuracy, sensitivity, and specificity in detecting fresh fractures using magnet...
Spine Spinal Fractures Humans Prospective Studies Deep Learning Magnetic Resonance Imaging Retrospective Studies
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Simulated outcomes for durotomy repair in minimally invasive spine surgery.

Scientific data Jan 10, 2024
Minimally invasive spine surgery (MISS) is increasingly performed using endoscopic and microscopic visualization, and the captured video can be used for surgical education and development of predictive artificial intelligence (AI) models. Video datas...
Spine Models, Anatomic Humans Artificial Intelligence Educational Status
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The positional consistency between guidewire and cannulated or solid screw in robot-assisted spinal internal fixation surgery.

Journal of orthopaedic surgery and research Jan 5, 2024
BACKGROUND: This study aimed to investigate the positional consistency between the guidewire and the screw in spinal internal fixation surgery.
Pedicle Screws Spine Surgery, Computer-Assisted Robotics Robotic Surgical Procedures Humans
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SALW-Net: a lightweight convolutional neural network based on self-adjusting loss function for spine MR image segmentation.

Medical & biological engineering & computing Jan 4, 2024
Segmentation of intervertebral discs and vertebrae from spine magnetic resonance (MR) images is essential to aid diagnosis algorithms for lumbar disc herniation. Convolutional neural networks (CNN) are effective methods, but often require high comput...
Neural Networks, Computer Algorithms Spine Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Three-dimensional spine reconstruction from biplane radiographs using convolutional neural networks.

Medical engineering & physics Dec 12, 2023
PURPOSE: The purpose of this study was to develop and evaluate a deep learning network for three-dimensional reconstruction of the spine from biplanar radiographs.
Plastic Surgery Procedures Imaging, Three-Dimensional Neural Networks, Computer Spine Image Processing, Computer-Assisted
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Deep learning prediction of curve severity from rasterstereographic back images in adolescent idiopathic scoliosis.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Dec 6, 2023
PURPOSE: Radiation-free systems based on dorsal surface topography can potentially represent an alternative to radiographic examination for early screening of scoliosis, based on the ability of recognizing the presence of deformity or classifying its...
Clinical Studies as Topic Anthropometry Predictive Learning Models Scoliosis Radiography Spine Humans Photogrammetry Reproducibility of Results Child Young Adult Predictive Value of Tests Severity of Illness Index Cross-Sectional Studies Deep Learning Male Adolescent
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Advancements in Robotic-Assisted Spine Surgery.

Neurosurgery clinics of North America Dec 6, 2023
Applications and workflows around spinal robotics have evolved since these systems were first introduced in 2004. Initially approved for lumbar pedicle screw placement, the scope of robotics has expanded to instrumentation across different regions. A...
Spine Robotics Humans Robotic Surgical Procedures Lumbar Vertebrae Artificial Intelligence Spinal Fusion
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